Evidence map›Paper›PMID 22210869›Full record

ArticleBioinformatics (Oxford, England)2012

Small-molecule inhibitor starting points learned from protein-protein interaction inhibitor structure.

David Ryan Koes, Carlos J Camacho

Erratum issuedAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. HIV Genome-Wide Protein Associations: a Review of 30 Years of Research.Microbiology and molecular biology reviews : MMBR · 2016
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Databases of ligand-binding pockets and protein-ligand interactions.Computational and structural biotechnology journal · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Differential Modulation of the Voltage-Gated NaFrontiers in molecular biosciences · 2021
    Article
  12. Development of Allosteric Modulators of Voltage-Gated NaCurrent topics in medicinal chemistry · 2021
    Review
  13. Article
  14. Article
  15. Artificial Macrocycles.Synlett : accounts and rapid communications in synthetic organic chemistry · 2018
    Article
  16. Small Molecule Inhibitors of the PCSK9·LDLR Interaction.Journal of the American Chemical Society · 2018
    Article
  17. Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors.

David Ryan KoesDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15260, USA. dkoes@pitt.edu
Carlos J Camacho

Funding

Real-time discovery of inhibitors among billion compounds for preview and downloadR01GM097082 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAMACHO, CARLOS J. · 2011 to 2020
$2.5M
Anchor: A PDB-Wide And Web-Based Discovery Resource Of Small Molecular Weight ProR21GM087617 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAMACHO, CARLOS J., DOEMLING, ALEXANDER SIEGFRIED · 2009 to 2010
$402k
NIGMS NIH HHS 1R21GM087617NIGMS NIH HHS R01 GM097082NIGMS NIH HHS R01GM097082
6 · The paper itself

Abstract

motivationProtein-protein interactions (PPIs) are a promising, but challenging target for pharmaceutical intervention. One approach for addressing these difficult targets is the rational design of small-molecule inhibitors that mimic the chemical and physical properties of small clusters of key residues at the protein-protein interface. The identification of appropriate clusters of interface residues provides starting points for inhibitor design and supports an overall assessment of the susceptibility of PPIs to small-molecule inhibition.

resultsWe extract Small-Molecule Inhibitor Starting Points (SMISPs) from protein-ligand and protein-protein complexes in the Protein Data Bank (PDB). These SMISPs are used to train two distinct classifiers, a support vector machine and an easy to interpret exhaustive rule classifier. Both classifiers achieve better than 70% leave-one-complex-out cross-validation accuracy and correctly predict SMISPs of known PPI inhibitors not in the training set. A PDB-wide analysis suggests that nearly half of all PPIs may be susceptible to small-molecule inhibition.

Indexed as

SoftwareSupport Vector MachineDatabases, ProteinHumansLigandsProtein Interaction MapsProteinsSmall Molecule LibrariesLigandsProteinsSmall Molecule Libraries

Identifiers

PMID22210869
PMCPMC3307105

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.